The Perspectives in AI seminar of the C4AI will host Prof. João Pita Costa, (Senior researcher at the International Research Center for Artificial Intelligence under the auspices of UNESCO – IRCAI) on September 11th, 16h – 17h30 Brasilia time (3pm – 4:30pm EST), to talk about “AI-powered data-driven and bias-aware platform for governments to identify and react to SDG challenges”.
Abstract:
Entering the age of Big Data, Artificial Intelligence is feeding the data-driven digital transformation across industries and evidence-based decision-making by the leadership across companies and local authorities. It is essential to highlight the meaningfulness of those approaches, transferring them to opportunities that are coming to the water sector as well. The amount and heterogeneity of data generated allied to the rapid progress of scientific research and consequent technological development allow for a new reality in regards to sustainability. While the frequency of the data ingested and the dynamic of what is being observed can dictate the different pace that real-time observation can take, the usefulness of the insightful information digested from that data in the context of priorities within the workflow and ethics concerns of governments, professionals and communities will dictate its meaningfulness. This talk will discuss the research work done by IRCAI acting as a centrepiece to global change from research to corporate supporting UNESCO’s guidelines in regards to an ethical AI.
Bio:
João Pita Costa is a PhD in Mathematics from the University of Ljubljana, Slovenia, and he is a senior researcher at the International Research Center for Artificial Intelligence under the auspices of UNESCO – IRCAI – where he is leading the development of an AI-driven SDG observatory, including the focus on the ethics of AI. He worked as a researcher in topological data analysis at the Institute Jozef Stefan, extending this collaboration as senior researcher in the spin-off Quintelligence, where he took a key role in the MIDAS project using Big Data to support policy making in public health and contributing to the effort against COVID19 through AI. He is also a lecturer on AI-related topics at the Barcelona Business School, ENEB. He was head of marketing at the bioinformatics SME Genialis.
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